Sreekumar Jamadas

• Pre-support consulting sales: Cultivated strong client relationships by providing strategic advisory support, leading to increased retention and new business opportunities.
• Collaborated with consulting teams to ensure seamless execution of engagements aligned with client needs and business goals.
• Identified emerging market trends and opportunities through data-driven analysis, influencing pipeline growth and sales strategy refinements.
• Assisted in developing proposals and presentations that effectively communicated value propositions to senior stakeholders.
• Project LIBRA, Traded Risk Data Quality Management.
• Synopsis: As a Data Analyst, I was responsible for identifying the data quality issues within the client onboarding system and suggesting resolutions by referencing the correct resolution team. This involved conducting data lineage analysis, external client search analysis, and resolving the issues as per the target operating model.
• Conducted a critical analysis of data attributes across three systems (ERDS, ISD, and GCDU) to determine accurate client linkages with their immediate parent.
• This helped establish a correct credit hierarchy within the data architecture, ultimately resolving the misreporting of data to regulatory bodies.
• Addressed data quality issues in alignment with the target operating model by communicating next steps, responsible teams, and action owners to senior data controllers; we cleaned up the data lineage using a top-down approach.
• Cleaned the Data Mart utilized by the credit reporting team for calculating counterparty limits, and risk-weighted assets.
• We thoroughly analyzed all attributes associated with exposures and limits for each client, ensuring accurate and clean data reporting to regulators.
• Developed various approaches to handle large datasets (approximately 65,000 records).
• These approaches involved manual comparison of common attributes across systems and the creation of automated sheets for line-by-line analysis, Macquarie Capital, Liquidity Management.

Project: Business Analyst: Singapore MAS 610 transformation project.

Synopsis: As a Business Analyst, I was responsible for all the system enhancements required to adhere to the MAS 610 regulation. (Reports worked: - B_III_2_2 Undrawn Commitment, MAS610_App_E_Classification, Fair-Value hierarchy, Param Change, Auto-rounding fixes for Axiom template, and DPT to ARDM reconciliation report.)

• Conducted business requirement gathering through proof of concept by creating a POC template as per the requirements from the legal entity finance team. Hands-on experience working with ARDM (Regulatory Data Mart) and general ledger attribute mapping for various reports.
• Automated various manual reconciliation processes within ARDM to reduce manual efforts by liaising with the Business and IT teams to gather requirements and supported the deployment of the work package until the end.
• Conducted a walkthrough with the IT team and stakeholders to understand the requirements, thereby helping the IT team create a functional specification document for the same.
• Handled responsibilities of obtaining sign-off for the requirement and passing off the same to the IT team for building the IT design architecture, and after that, conducting UAT scenarios and finalizing the POC with the stakeholders to check if the build is in line with their expectations.
• Prepared UAT test case scenarios and communicated with the IT team for functional testing of MAS reports.

Project: Business Analyst: Data sourcing and template mapping:

Synopsis: Credit Suisse enhanced its regulatory reporting as per BCBS 239 to have a single data warehouse to cater to all the regulatory reporting needs for the Japan region.

• Conducted and documented business requirement gathering through a Proof of Concept for changes in data sourcing for regulatory reports, such as the large deposit report and the Fair Value classification report.
• Created PARAM settings in the Axiom system to make various changes in the data attributes, ensuring the flow of data from the data warehouse to the Axiom system is smooth and consistent.

Project 2: Business Analyst: Spain's regulatory system implementation (Part of the Brexit Strategy)

Synopsis: As part of the Brexit strategy, Credit Suisse transformed its branch operations in Spain into a full-fledged entity; hence, the requirement of a strategic platform to feed the data to the Axiom system was necessary.

• Conducted counterparty data mapping of all the counterparties doing business with the Spain branch, and moved the same to the strategic platform (ALAMO) to adhere to Spain's regulations.
• Prepared secured funding mapping requirements from the old legacy system to the new platform, and involved various other products in mapping, such as loans, collateral linkage, real estate data requirements, and loans mapping as well.
• · Conducted UAT testing for all the requirements and obtained sign off for the all the scenarios within the stipulated time.

• Liquidity Proof and Control team, data validations across various products of the firm, which get reported through the regulatory reporting (PRA and FED reporting), mainly LCR, NSFR, and 5G.
• Running the data validation process every day by querying day-to-day variances for every product (mainly repo, fails, stock loan, unencumbered assets, derivatives, loans, deposits, etc.). To the concerned Operations team, and getting an approval around the variances, whether valid or invalid, through a data repository known as Liquidity Hub, which ultimately feeds the Liquidity reporting system, Axiom.
• Providing data validation sign-off on each product by conducting reviews on the product that gets uploaded to the SAP SharePoint, which ultimately gets consumed by the Glasgow team for their regulatory reporting.
• Maintaining good quality controls across reviews of the product to ensure good quality data is reported every day to senior management, and then ultimately to the regulators via the End User Computing process.

• Liquidity reporting: Preparing Liquidity Stress Ratio (Liquidity Coverage Ratio) as per EBA/CRDIV rules for regulatory reporting on a monthly and daily basis for EMEA entities.
• Also, preparing the Net Stable Funding Ratio as per CRDIV rules to display funding mismatch and the stability of the funding profile for EMEA entities.
• Performed outflow trends, liquidity pool, and critical factors analysis to identify the root cause of LCR ratio breaches.
• Liaised with business and IT stakeholders to understand the system flows and functionalities achieved through the Axiom Reporting Tool, created FSDs on the Axiom Reporting Control Framework design, and implemented the same, regularly tracking the progress on JIRA for improved reported numbers' accuracy.
• Migrated the UK regulatory reporting platform from a CRDIV rules-based legacy system to a new Delegated Act rules-based system to adhere to the BCBS 239 framework.
• Enhanced the front-to-back (FTB) reconciliation process between risk systems and general ledgers significantly reduced the required manual adjustments during month-end reporting, and thus improved the turnaround time and accuracy of the MTM reports.
• Raising red flags to the Treasury team in case of a breach in the LCR ratio, and analyzing the trend of outflows, the liquidity pool, and other factors contributing to the liquidity breach.
• Conducting data validations for all the data that flows from various risk systems to the regulatory system for CRDIV, LCR, and NSFR to avoid data discrepancies and false reporting to the regulators.
• Maintaining strong controls across the reporting streams to avoid operational risk of misreporting numbers to the regulators through end-user computing.

• Part of the financial control team is to report the P&L to the product controllers, performing various reconciliations across systems, which are reported in the financial statements.
• Acted as a watchdog for the profit and loss made by the traders, ensuring that whatever P&L is posted in the main trader’s system should be reflected in the ledger.
• Certified all the mark-to-market balances for various derivative products, which were then used for various federal reportings and the calculation of risk-weighted assets and liabilities for the firm.

• Providing daily updates to the treasury team regarding the investments made by them in the money market, debt market, and equity market.
• Calculating Banks’ CRR (Cash Reserve Ratio) and SLR (Statutory Liquidity Ratio) for the purpose of regulatory reserves and ensuring compliance with SLR daily.
• Analyzing the asset-liability mismatch (ALM) and reporting the same to the Reserve Bank of India through interest rate sensitivity and structural liquidity analysis (liquidity monitoring), as well as assisting the treasury team with the same.
• Analyzing the performance of the companies on the BSE (Bombay Stock Exchange) and NSE (National Stock Exchange), which form part of the credit exposure for the bank.